• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.1085-1086
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• 2013

• Journal of the Korean Society for Precision Engineering
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• v.24 no.3 s.192
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• pp.7-15
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• 2007

• Journal of The Korean Digital Architecture Interior Association
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• v.4 no.2
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• pp.52-59
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• 2004

The interest about noise and vibration which occurs in buildings is increasing by a living level elevation recently. Particularly, the vibration which occurs from the elevator cage of the building is possibility of damage to the users of the building continuously. So, the purpose of this study is to suggest of measuring results to the vibration that occurs from the elevator cage and propose the countermeasure of it.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.11a
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• pp.369-370
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• 2008

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.154-160
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• 2019

In this paper, we propose the miniaturization size of wearable Range of Motion(ROM) and a system that can be connected with smart devices in real-time to measure the joint movement range dynamically. Currently, the ROM of the joint is directly measured by a person using a goniometer. Conventional methods are different depending on the measurement method and location of the measurement person, which makes it difficult to measure consistently and may cause errors. Also, it is impossible to measure the ROM of joints in real-life situations. Therefore, the wearable sensor is attached to the joint to be measured to develop a miniaturize size ROM device that can measure the range of motion of the joint in real-time. The sensor measured the resistance value changed according to the movement of the joint using a load cell. Also, the sensed analog values were converted to digital values using an Analog to Digital Converter(ADC). The converted amount can be transmitted wireless to the smart device through the wearable sensor node. As a result, the developed device can be measured more consistently than the measurement using the goniometer, communication with IoT-based smart devices, and wearable enables dynamic observation. The developed wearable sensor node will be able to monitor the dynamic state of rehabilitation patients in real-time and improve the rapid change of treatment method and customized treatment.

• Journal of Digital Convergence
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• v.7 no.3
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• pp.61-74
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• 2009

This research reviewed previous research related to Performance Measurement Models of Knowledge Management (PMMKM) in order to integrate their findings with more recent research and construct a new PMMKM. This new hypothetical PMMKM consists of an input sector, a process sector, an outcome sector, and an infrastructure sector. Each sector has three measurement items with the exception of the infrastructure sector which has two. Empirical analyses testing the overall performance model validity of the hypothetical PMMKM were favorable. However, it show be noted that the "share process" and "utilization process" items in the process sector merged into one single item. The same is true with the "individual outcome" and "organization outcome" items in the outcome sector found one single item. The study's results reveal three implications with respect to performance. First, there are derived integrated performance measurement sectors and items based on overall management process of knowledge management, which can be practically applied to the government related research entities. This became apparent after extensive review or previous theoretical studies related to the public sector and private sector. Second, weighted performance measurement of knowledge management using AHP (Analytic Hierarchy Process) Analysis makes it possible to propose PMMKM in government sponsored research institutes. Finally, measuring performance to management knowledge, as shown in this study, will prove useful for inside and outside experts who propose specific guidelines and methodologies for Knowledge management at government sponsored research institutes.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.97-103
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• 2020

The proposed system is composed of two parts, an AI physical fitness measurement part and an AI physical fitness management part. In the AI fitness measurement part, a guide to physical fitness measurement and accurate calculation of the measured value are performed through deep learning-based pose recognition. Based on these measurements, the AI fitness management part designs personalized exercise programs and provides them to dedicated smart applications. To guide the measurement posture, the posture of the subject to be measured is photographed through a webcam and the skeleton line is extracted. Next, the skeletal line of the learned preparation posture is compared with the extracted skeletal line to determine whether or not it is normal, and voice guidance is provided to maintain the normal posture.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.3
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• pp.117-124
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• 2023

In the machine vision inspection equipment, diameter measurement is important process in inspection of cylindrical object. However, machine vision inspection equipment requires complex algorithm processing such as camera distortion correction and perspective distortion correction, and the increase in processing time and cost required for precise diameter measurement. In this paper, we proposed the algorithm for diameter measurement of cylindrical object using the laser displacement sensor. In order to fit circle for given four input outer points, grid search algorithms using root-mean-square error and mean-absolute error are applied and compared. To solve the limitations of the grid search algorithm, we finally apply the singular-value-decomposition based circle fitting algorithm. In order to compare the performance of the algorithms, we generated the pseudo data of the outer points of the cylindrical object and applied each algorithm. As a result of the experiment, the grid search using root-mean-square error confirmed stable measurement results, but it was confirmed that real-time processing was difficult as the execution time was 10.8059 second. The execution time of mean-absolute error algorithm was greatly improved as 0.3639 second, but there was no weight according to the distance, so the result of algorithm is abnormal. On the other hand, the singular-value-decomposition method was not affected by the grid and could not only obtain precise detection results, but also confirmed a very good execution time of 0.6 millisecond.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.3
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• pp.61-89
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• 2018

The purpose of this study is to analyze the items related to digital reading and information literacy which were measured by PIAAC and PISA, to examine the measurement contents and methods of these literacy items, and to derive the implications for providing reading and information services for librarians at public libraries and teacher librarians. In order to solve the questions measuring digital reading literacy and digital information literacy, respondents commonly needed ICT skills as well as cognitive strategies. However, in digital reading literacy measurement items, the ability to comprehend and critically think about texts was emphasized. And in digital information literacy measurement items, the ability to use ICT skills, navigate, and evaluate whether or not to read the retrieved text was emphasized. Librarians and teacher librarians need to encourage readers to read and provide a customized competencies improvement program to reflect the performance results and characteristics of a particular group. And It is also necessary to improve and develop the library environment so that library user can understand and use library search system and the Korean decimal classification.

• The Journal of Korean Physical Therapy
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• v.25 no.4
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• pp.210-216
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• 2013

Purpose: A cost effective tool for the clinical measurement of trunk reposition sense is clearly needed. This study was to analyze intrarater and interrater Reliability of trunk repositioning error (TRE) test which assesses trunk position sense using a portable digital inclinometer. Methods: Twenty four normal healthy subjects were recruited. TRE was measured using a portable digital inclinometer. A digital inclinometer (Acumar-ACU360; Lafayetter Instrument) with precision to $1^{\circ}$ was placed on skin over the spinous process from first to second thoracic vertebra (T1-T2) and secured with double-sided tape. TRE test during sitting forward and lateral flexion movement was assessed. When they reached a point approximately 50% of full trunk flexion range, the examiner instructed the subjects to stop and told them. This was the target position that they should try to reproduce exactly. Each subject performed six trials. Results: ICC (2,1) for intrarater reliability (with-day and between-day) of TRE test in sagittal and frontal plane of movement was 0.75 and 0.78 (excellent reliability). Interrater reliability was 0.66 in sagittal and 0.64, frontal plane (fair to good reliability). However, there were poor correlations between an average of TRE test in sagittal and frontal plane. Conclusion: TRE test using a portable digital inclinometer demonstrated good to excellent reliability. The device may be a cost effective clinical measurement for trunk reposition sense measurement.